Dataset statistics
| Number of variables | 14 |
|---|---|
| Number of observations | 88258 |
| Missing cells | 361726 |
| Missing cells (%) | 29.3% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 7.5 MiB |
| Average record size in memory | 89.0 B |
Variable types
| Numeric | 7 |
|---|---|
| Categorical | 2 |
| Boolean | 1 |
| Unsupported | 3 |
| DateTime | 1 |
Pedido_pendiente_de_suministro_insuficiente has constant value "True" | Constant |
Fecha_de_pedido has a high cardinality: 1512 distinct values | High cardinality |
Fecha_de_entrega_esperada has a high cardinality: 630 distinct values | High cardinality |
ID_de_pedido is highly correlated with ID_de_pedido_pendiente | High correlation |
ID_de_cliente is highly correlated with ID_de_persona_de_contacto | High correlation |
ID_de_persona_de_contacto is highly correlated with ID_de_cliente | High correlation |
ID_de_pedido_pendiente is highly correlated with ID_de_pedido | High correlation |
ID_de_pedido is highly correlated with ID_de_pedido_pendiente | High correlation |
ID_de_cliente is highly correlated with ID_de_persona_de_contacto | High correlation |
ID_de_persona_de_contacto is highly correlated with ID_de_cliente | High correlation |
ID_de_pedido_pendiente is highly correlated with ID_de_pedido | High correlation |
ID_de_pedido is highly correlated with ID_de_pedido_pendiente | High correlation |
ID_de_cliente is highly correlated with ID_de_persona_de_contacto | High correlation |
ID_de_persona_de_contacto is highly correlated with ID_de_cliente | High correlation |
ID_de_pedido_pendiente is highly correlated with ID_de_pedido | High correlation |
ID_de_pedido is highly correlated with ID_de_pedido_pendiente | High correlation |
ID_de_cliente is highly correlated with ID_de_persona_de_contacto | High correlation |
ID_de_persona_de_contacto is highly correlated with ID_de_cliente | High correlation |
ID_de_pedido_pendiente is highly correlated with ID_de_pedido | High correlation |
Seleccionado_por_ID_de_persona has 13570 (15.4%) missing values | Missing |
ID_de_pedido_pendiente has 79035 (89.5%) missing values | Missing |
Comentarios has 88258 (100.0%) missing values | Missing |
Instrucciones_de_entrega has 88258 (100.0%) missing values | Missing |
Comentarios_internos has 88258 (100.0%) missing values | Missing |
Seleccion_completada_cuando has 4347 (4.9%) missing values | Missing |
ID_de_pedido is uniformly distributed | Uniform |
Comentarios is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Instrucciones_de_entrega is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Comentarios_internos is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Reproduction
| Analysis started | 2024-06-29 17:59:38.022919 |
|---|---|
| Analysis finished | 2024-06-29 18:03:10.332734 |
| Duration | 3 minutes and 32.31 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
ID_de_pedido
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIFORM| Distinct | 54145 |
|---|---|
| Distinct (%) | 61.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 46547.75124 |
| Minimum | 19443 |
|---|---|
| Maximum | 73595 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 344.9 KiB |
Quantile statistics
| Minimum | 19443 |
|---|---|
| 5-th percentile | 22149 |
| Q1 | 33072 |
| median | 46546 |
| Q3 | 60071 |
| 95-th percentile | 70898.15 |
| Maximum | 73595 |
| Range | 54152 |
| Interquartile range (IQR) | 26999 |
Descriptive statistics
| Standard deviation | 15608.64492 |
|---|---|
| Coefficient of variation (CV) | 0.3353254348 |
| Kurtosis | -1.196202414 |
| Mean | 46547.75124 |
| Median Absolute Deviation (MAD) | 13502 |
| Skewness | -0.0007785763955 |
| Sum | 4108211429 |
| Variance | 243629796.3 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 42245 | 3 | < 0.1% |
| 50881 | 3 | < 0.1% |
| 63970 | 3 | < 0.1% |
| 53676 | 3 | < 0.1% |
| 25850 | 3 | < 0.1% |
| 72992 | 3 | < 0.1% |
| 53083 | 3 | < 0.1% |
| 47875 | 3 | < 0.1% |
| 34251 | 3 | < 0.1% |
| 62677 | 3 | < 0.1% |
| Other values (54135) | 88228 |
| Value | Count | Frequency (%) |
| 19443 | 1 | |
| 19444 | 1 | |
| 19445 | 1 | |
| 19446 | 1 | |
| 19447 | 1 | |
| 19448 | 1 | |
| 19449 | 2 | |
| 19450 | 1 | |
| 19451 | 2 | |
| 19452 | 1 |
| Value | Count | Frequency (%) |
| 73595 | 2 | |
| 73594 | 2 | |
| 73593 | 2 | |
| 73592 | 2 | |
| 73591 | 3 | |
| 73590 | 1 | < 0.1% |
| 73589 | 1 | < 0.1% |
| 73588 | 2 | |
| 73587 | 1 | < 0.1% |
| 73586 | 2 |
| Distinct | 663 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 534.5820549 |
| Minimum | 1 |
|---|---|
| Maximum | 1061 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 344.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 33 |
| Q1 | 162 |
| median | 521 |
| Q3 | 883 |
| 95-th percentile | 1012 |
| Maximum | 1061 |
| Range | 1060 |
| Interquartile range (IQR) | 721 |
Descriptive statistics
| Standard deviation | 345.8665216 |
|---|---|
| Coefficient of variation (CV) | 0.646984908 |
| Kurtosis | -1.42979991 |
| Mean | 534.5820549 |
| Median Absolute Deviation (MAD) | 360 |
| Skewness | -0.06455180167 |
| Sum | 47181143 |
| Variance | 119623.6508 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 472 | 182 | 0.2% |
| 548 | 175 | 0.2% |
| 183 | 174 | 0.2% |
| 70 | 173 | 0.2% |
| 964 | 173 | 0.2% |
| 405 | 173 | 0.2% |
| 804 | 172 | 0.2% |
| 67 | 172 | 0.2% |
| 169 | 171 | 0.2% |
| 118 | 170 | 0.2% |
| Other values (653) | 86523 |
| Value | Count | Frequency (%) |
| 1 | 159 | |
| 2 | 152 | |
| 3 | 151 | |
| 4 | 117 | |
| 5 | 149 | |
| 6 | 129 | |
| 7 | 134 | |
| 8 | 120 | |
| 9 | 163 | |
| 10 | 157 |
| Value | Count | Frequency (%) |
| 1061 | 16 | < 0.1% |
| 1060 | 6 | < 0.1% |
| 1059 | 11 | < 0.1% |
| 1058 | 20 | |
| 1057 | 26 | |
| 1056 | 21 | |
| 1055 | 45 | |
| 1054 | 47 | |
| 1053 | 40 | |
| 1052 | 49 |
ID_de_vendedor
Real number (ℝ≥0)
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.42955879 |
| Minimum | 2 |
|---|---|
| Maximum | 20 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 344.9 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 6 |
| median | 13 |
| Q3 | 15 |
| 95-th percentile | 20 |
| Maximum | 20 |
| Range | 18 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 5.712593445 |
|---|---|
| Coefficient of variation (CV) | 0.5477310745 |
| Kurtosis | -1.251630752 |
| Mean | 10.42955879 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.03193206922 |
| Sum | 920492 |
| Variance | 32.63372386 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 16 | 9008 | |
| 15 | 8924 | |
| 13 | 8921 | |
| 2 | 8872 | |
| 14 | 8851 | |
| 6 | 8806 | |
| 20 | 8779 | |
| 3 | 8728 | |
| 8 | 8690 | |
| 7 | 8679 |
| Value | Count | Frequency (%) |
| 2 | 8872 | |
| 3 | 8728 | |
| 6 | 8806 | |
| 7 | 8679 | |
| 8 | 8690 | |
| 13 | 8921 | |
| 14 | 8851 | |
| 15 | 8924 | |
| 16 | 9008 | |
| 20 | 8779 |
| Value | Count | Frequency (%) |
| 20 | 8779 | |
| 16 | 9008 | |
| 15 | 8924 | |
| 14 | 8851 | |
| 13 | 8921 | |
| 8 | 8690 | |
| 7 | 8679 | |
| 6 | 8806 | |
| 3 | 8728 | |
| 2 | 8872 |
| Distinct | 19 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 13570 |
| Missing (%) | 15.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.95699443 |
| Minimum | 2 |
|---|---|
| Maximum | 20 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 689.6 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 6 |
| median | 11 |
| Q3 | 16 |
| 95-th percentile | 19 |
| Maximum | 20 |
| Range | 18 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 5.460278195 |
|---|---|
| Coefficient of variation (CV) | 0.4983372247 |
| Kurtosis | -1.233665779 |
| Mean | 10.95699443 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.01761212988 |
| Sum | 818356 |
| Variance | 29.81463797 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 18 | 5022 | 5.7% |
| 8 | 4851 | 5.5% |
| 7 | 4575 | 5.2% |
| 3 | 4469 | 5.1% |
| 17 | 4375 | 5.0% |
| 4 | 4276 | 4.8% |
| 10 | 4072 | 4.6% |
| 9 | 4000 | 4.5% |
| 6 | 3862 | 4.4% |
| 14 | 3786 | 4.3% |
| Other values (9) | 31400 | |
| (Missing) | 13570 |
| Value | Count | Frequency (%) |
| 2 | 3448 | |
| 3 | 4469 | |
| 4 | 4276 | |
| 5 | 3022 | |
| 6 | 3862 | |
| 7 | 4575 | |
| 8 | 4851 | |
| 9 | 4000 | |
| 10 | 4072 | |
| 11 | 3437 |
| Value | Count | Frequency (%) |
| 20 | 3348 | |
| 19 | 3603 | |
| 18 | 5022 | |
| 17 | 4375 | |
| 16 | 3716 | |
| 15 | 3734 | |
| 14 | 3786 | |
| 13 | 3545 | |
| 12 | 3547 | |
| 11 | 3437 |
ID_de_persona_de_contacto
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 663 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2234.913606 |
| Minimum | 1001 |
|---|---|
| Maximum | 3261 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 344.9 KiB |
Quantile statistics
| Minimum | 1001 |
|---|---|
| 5-th percentile | 1065 |
| Q1 | 1323 |
| median | 2241 |
| Q3 | 3083 |
| 95-th percentile | 3212 |
| Maximum | 3261 |
| Range | 2260 |
| Interquartile range (IQR) | 1760 |
Descriptive statistics
| Standard deviation | 800.280987 |
|---|---|
| Coefficient of variation (CV) | 0.3580813974 |
| Kurtosis | -1.475072091 |
| Mean | 2234.913606 |
| Median Absolute Deviation (MAD) | 868 |
| Skewness | -0.1753608184 |
| Sum | 197249005 |
| Variance | 640449.6582 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2143 | 182 | 0.2% |
| 2295 | 175 | 0.2% |
| 1365 | 174 | 0.2% |
| 1139 | 173 | 0.2% |
| 3164 | 173 | 0.2% |
| 2009 | 173 | 0.2% |
| 3004 | 172 | 0.2% |
| 1133 | 172 | 0.2% |
| 1337 | 171 | 0.2% |
| 1235 | 170 | 0.2% |
| Other values (653) | 86523 |
| Value | Count | Frequency (%) |
| 1001 | 159 | |
| 1003 | 152 | |
| 1005 | 151 | |
| 1007 | 117 | |
| 1009 | 149 | |
| 1011 | 129 | |
| 1013 | 134 | |
| 1015 | 120 | |
| 1017 | 163 | |
| 1019 | 157 |
| Value | Count | Frequency (%) |
| 3261 | 16 | < 0.1% |
| 3260 | 6 | < 0.1% |
| 3259 | 11 | < 0.1% |
| 3258 | 20 | |
| 3257 | 26 | |
| 3256 | 21 | |
| 3255 | 45 | |
| 3254 | 47 | |
| 3253 | 40 | |
| 3252 | 49 |
ID_de_pedido_pendiente
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 5666 |
|---|---|
| Distinct (%) | 61.4% |
| Missing | 79035 |
| Missing (%) | 89.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 46971.11081 |
| Minimum | 19532 |
|---|---|
| Maximum | 73595 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 689.6 KiB |
Quantile statistics
| Minimum | 19532 |
|---|---|
| 5-th percentile | 22430.1 |
| Q1 | 33756.5 |
| median | 47272 |
| Q3 | 60249.5 |
| 95-th percentile | 71019.9 |
| Maximum | 73595 |
| Range | 54063 |
| Interquartile range (IQR) | 26493 |
Descriptive statistics
| Standard deviation | 15466.66876 |
|---|---|
| Coefficient of variation (CV) | 0.3292804554 |
| Kurtosis | -1.180305062 |
| Mean | 46971.11081 |
| Median Absolute Deviation (MAD) | 13273 |
| Skewness | -0.02223146013 |
| Sum | 433214555 |
| Variance | 239217842.5 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 27630 | 3 | < 0.1% |
| 71586 | 3 | < 0.1% |
| 21967 | 3 | < 0.1% |
| 26320 | 3 | < 0.1% |
| 71212 | 3 | < 0.1% |
| 43244 | 3 | < 0.1% |
| 39370 | 3 | < 0.1% |
| 52209 | 3 | < 0.1% |
| 72277 | 3 | < 0.1% |
| 64593 | 3 | < 0.1% |
| Other values (5656) | 9193 | 10.4% |
| (Missing) | 79035 |
| Value | Count | Frequency (%) |
| 19532 | 3 | |
| 19533 | 1 | < 0.1% |
| 19534 | 1 | < 0.1% |
| 19535 | 2 | |
| 19536 | 1 | < 0.1% |
| 19537 | 2 | |
| 19538 | 2 | |
| 19539 | 2 | |
| 19590 | 2 | |
| 19591 | 2 |
| Value | Count | Frequency (%) |
| 73595 | 3 | |
| 73594 | 2 | |
| 73593 | 2 | |
| 73592 | 2 | |
| 73591 | 2 | |
| 73590 | 1 | < 0.1% |
| 73589 | 1 | < 0.1% |
| 73588 | 1 | < 0.1% |
| 73587 | 1 | < 0.1% |
| 73505 | 2 |
| Distinct | 1512 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 689.6 KiB |
| 2015-02-03 | 163 |
|---|---|
| 2016-01-06 | 163 |
| 2015-10-19 | 162 |
| 2016-03-23 | 159 |
| 2015-07-06 | 158 |
| Other values (1507) |
Length
| Max length | 11 |
|---|---|
| Median length | 10 |
| Mean length | 10.22700492 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Mar 05,2015 |
|---|---|
| 2nd row | Mar 24,2015 |
| 3rd row | Mar 18,2014 |
| 4th row | Apr 21,2015 |
| 5th row | Nov 11,2014 |
Common Values
| Value | Count | Frequency (%) |
| 2015-02-03 | 163 | 0.2% |
| 2016-01-06 | 163 | 0.2% |
| 2015-10-19 | 162 | 0.2% |
| 2016-03-23 | 159 | 0.2% |
| 2015-07-06 | 158 | 0.2% |
| 2015-11-24 | 158 | 0.2% |
| 2016-04-28 | 155 | 0.2% |
| 2016-05-04 | 155 | 0.2% |
| 2015-02-27 | 155 | 0.2% |
| 2015-07-30 | 154 | 0.2% |
| Other values (1502) | 86676 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| may | 2187 | 2.0% |
| apr | 2148 | 2.0% |
| jan | 2108 | 1.9% |
| mar | 1951 | 1.8% |
| feb | 1858 | 1.7% |
| jul | 1576 | 1.5% |
| oct | 1467 | 1.4% |
| jun | 1420 | 1.3% |
| dec | 1412 | 1.3% |
| sep | 1357 | 1.3% |
| Other values (851) | 90809 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 630 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 689.6 KiB |
| 2015-03-02 | 287 |
|---|---|
| 2016-05-16 | 283 |
| 2016-01-11 | 266 |
| 2014-04-28 | 265 |
| 2015-06-08 | 264 |
| Other values (625) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2015-03-06 |
|---|---|
| 2nd row | 2015-03-25 |
| 3rd row | 2014-03-19 |
| 4th row | 2015-04-22 |
| 5th row | 2014-11-12 |
Common Values
| Value | Count | Frequency (%) |
| 2015-03-02 | 287 | 0.3% |
| 2016-05-16 | 283 | 0.3% |
| 2016-01-11 | 266 | 0.3% |
| 2014-04-28 | 265 | 0.3% |
| 2015-06-08 | 264 | 0.3% |
| 2015-06-01 | 263 | 0.3% |
| 2015-09-14 | 263 | 0.3% |
| 2015-04-06 | 262 | 0.3% |
| 2016-04-11 | 259 | 0.3% |
| 2015-03-30 | 258 | 0.3% |
| Other values (620) | 85588 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2015-03-02 | 287 | 0.3% |
| 2016-05-16 | 283 | 0.3% |
| 2016-01-11 | 266 | 0.3% |
| 2014-04-28 | 265 | 0.3% |
| 2015-06-08 | 264 | 0.3% |
| 2015-06-01 | 263 | 0.3% |
| 2015-09-14 | 263 | 0.3% |
| 2015-04-06 | 262 | 0.3% |
| 2016-04-11 | 259 | 0.3% |
| 2015-03-30 | 258 | 0.3% |
| Other values (620) | 85588 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Numero_de_pedido_de_compra_del_cliente
Real number (ℝ≥0)
| Distinct | 9926 |
|---|---|
| Distinct (%) | 11.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14993.60438 |
| Minimum | 10001 |
|---|---|
| Maximum | 20000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 689.6 KiB |
Quantile statistics
| Minimum | 10001 |
|---|---|
| 5-th percentile | 10505 |
| Q1 | 12493 |
| median | 14995 |
| Q3 | 17496 |
| 95-th percentile | 19492 |
| Maximum | 20000 |
| Range | 9999 |
| Interquartile range (IQR) | 5003 |
Descriptive statistics
| Standard deviation | 2882.03311 |
|---|---|
| Coefficient of variation (CV) | 0.1922174974 |
| Kurtosis | -1.198478346 |
| Mean | 14993.60438 |
| Median Absolute Deviation (MAD) | 2501.5 |
| Skewness | 0.001300334427 |
| Sum | 1323305535 |
| Variance | 8306114.85 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 15358 | 32 | < 0.1% |
| 19786 | 30 | < 0.1% |
| 10776 | 29 | < 0.1% |
| 15758 | 29 | < 0.1% |
| 16651 | 28 | < 0.1% |
| 14856 | 28 | < 0.1% |
| 12650 | 27 | < 0.1% |
| 19885 | 27 | < 0.1% |
| 18144 | 26 | < 0.1% |
| 11658 | 26 | < 0.1% |
| Other values (9916) | 87976 |
| Value | Count | Frequency (%) |
| 10001 | 7 | < 0.1% |
| 10002 | 20 | |
| 10003 | 20 | |
| 10004 | 15 | |
| 10005 | 15 | |
| 10006 | 6 | < 0.1% |
| 10007 | 22 | |
| 10008 | 4 | < 0.1% |
| 10009 | 21 | |
| 10010 | 4 | < 0.1% |
| Value | Count | Frequency (%) |
| 20000 | 9 | |
| 19999 | 1 | < 0.1% |
| 19998 | 10 | |
| 19997 | 4 | < 0.1% |
| 19996 | 16 | |
| 19995 | 10 | |
| 19994 | 9 | |
| 19993 | 12 | |
| 19992 | 7 | |
| 19991 | 8 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 86.3 KiB |
| True |
|---|
| Value | Count | Frequency (%) |
| True | 88258 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| ID_de_pedido | ID_de_cliente | ID_de_vendedor | Seleccionado_por_ID_de_persona | ID_de_persona_de_contacto | ID_de_pedido_pendiente | Fecha_de_pedido | Fecha_de_entrega_esperada | Numero_de_pedido_de_compra_del_cliente | Pedido_pendiente_de_suministro_insuficiente | Comentarios | Instrucciones_de_entrega | Comentarios_internos | Seleccion_completada_cuando | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 44495 | 139 | 6 | 18.0 | 1277 | NaN | Mar 05,2015 | 2015-03-06 | 13118 | True | None | None | None | 2015-03-06 11:00:00 |
| 1 | 45625 | 892 | 15 | 17.0 | 3092 | NaN | Mar 24,2015 | 2015-03-25 | 11303 | True | None | None | None | 2015-03-24 11:00:00 |
| 2 | 23645 | 542 | 8 | 9.0 | 2283 | NaN | Mar 18,2014 | 2014-03-19 | 18340 | True | None | None | None | 2014-03-18 11:00:00 |
| 3 | 47505 | 924 | 15 | 4.0 | 3124 | NaN | Apr 21,2015 | 2015-04-22 | 18645 | True | None | None | None | 2015-04-21 11:00:00 |
| 4 | 37755 | 43 | 7 | 10.0 | 1085 | NaN | Nov 11,2014 | 2014-11-12 | 16259 | True | None | None | None | 2014-11-11 11:00:00 |
| 5 | 36114 | 54 | 3 | 10.0 | 1107 | NaN | Oct 16,2014 | 2014-10-17 | 17861 | True | None | None | None | 2014-10-16 11:00:00 |
| 6 | 48423 | 956 | 3 | 9.0 | 3156 | NaN | May 04,2015 | 2015-05-05 | 19616 | True | None | None | None | 2015-09-24 11:00:00 |
| 7 | 38465 | 1028 | 16 | 12.0 | 3228 | NaN | Nov 24,2014 | 2014-11-25 | 18936 | True | None | None | None | 2014-11-24 11:00:00 |
| 8 | 48651 | 39 | 2 | NaN | 1077 | NaN | May 07,2015 | 2015-05-08 | 13944 | True | None | None | None | NaT |
| 9 | 34080 | 25 | 8 | 3.0 | 1049 | NaN | Sep 10,2014 | 2014-09-11 | 11079 | True | None | None | None | 2014-09-10 11:00:00 |
Last rows
| ID_de_pedido | ID_de_cliente | ID_de_vendedor | Seleccionado_por_ID_de_persona | ID_de_persona_de_contacto | ID_de_pedido_pendiente | Fecha_de_pedido | Fecha_de_entrega_esperada | Numero_de_pedido_de_compra_del_cliente | Pedido_pendiente_de_suministro_insuficiente | Comentarios | Instrucciones_de_entrega | Comentarios_internos | Seleccion_completada_cuando | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 88248 | 63342 | 894 | 3 | NaN | 3094 | 63377.0 | 2015-12-22 | 2015-12-23 | 10582 | True | None | None | None | 2015-12-22 12:00:00 |
| 88249 | 37851 | 94 | 16 | 3.0 | 1187 | NaN | 2014-11-13 | 2014-11-14 | 12114 | True | None | None | None | 2014-11-13 11:00:00 |
| 88250 | 70517 | 830 | 16 | 8.0 | 3030 | NaN | 2016-04-15 | 2016-04-18 | 15939 | True | None | None | None | 2016-04-15 11:00:00 |
| 88251 | 31919 | 575 | 2 | 11.0 | 2349 | NaN | 2014-08-01 | 2014-08-04 | 11877 | True | None | None | None | 2014-08-01 11:00:00 |
| 88252 | 58045 | 122 | 6 | NaN | 1243 | 58116.0 | 2015-09-29 | 2015-09-30 | 18016 | True | None | None | None | 2015-09-29 12:00:00 |
| 88253 | 71539 | 897 | 14 | 18.0 | 3097 | NaN | 2016-04-30 | 2016-05-02 | 18811 | True | None | None | None | 2016-04-30 11:00:00 |
| 88254 | 47453 | 981 | 3 | 4.0 | 3181 | NaN | 2015-04-21 | 2015-04-22 | 19539 | True | None | None | None | 2015-04-21 11:00:00 |
| 88255 | 58181 | 869 | 3 | 20.0 | 3069 | NaN | 2015-09-30 | 2015-10-01 | 19442 | True | None | None | None | 2015-09-30 11:00:00 |
| 88256 | 57068 | 892 | 6 | 19.0 | 3092 | NaN | 2015-09-14 | 2015-09-15 | 19090 | True | None | None | None | 2015-09-14 11:00:00 |
| 88257 | 34340 | 70 | 2 | NaN | 1139 | NaN | 2014-09-15 | 2014-09-16 | 19896 | True | None | None | None | NaT |